Hardcover. This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics. This second edition is broadly expanded, building upon the success of its former edition with more than 450 new and updated entries. These entries are designed to ensure algorithms are presented from growing areas of research such as bioinformatics, combinatorial group testing, differential privacy, enumeration algorithms, game theory, massive data algorithms, modern learning theory, social networks, and VLSI CAD algorithms.Over 630 entries are organized alphabetically by problem, with subentries allowing for distinct solutions. Each entry includes a description of the basic algorithmic problem; the input and output specifications; key results; examples of applications; citations to key literature, open problems, experimental results, links to data sets and downloadable code.All entries are peer-reviewed, written by leading experts in the fieldand each entry contains links to a summary of the authors research work. This defining reference is available in both print and onlinea dynamic living work with hyperlinks to related entries, cross references citations, and a myriad other valuable URLs.New and Updated entries include:Algorithmic Aspects of Distributed Sensor Networks, Algorithms for Modern Computers Bioinformatics Certified Reconstruction and Mesh Generation Combinatorial Group Testing Compression of Text and Data Structures Computational Counting Computational Economics Computational Geometry Differential Privacy Enumeration Algorithms Exact Exponential Algorithms Game Theory Graph Drawing Group Testing Internet Algorithms Kernels and Compressions Massive Data Algorithms Mathematical Optimization Modern Learning Theory Social Networks Stable Marriage Problems, k-SAT Algorithms Sublinear Algorithms Tile Self-Assembly VLSI CAD Algorithms Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Encyclopedia of Algorithms (Hardcover)
Publisher: Springer-Verlag New York Inc., New York
Publication Date: 2016
Language: English
ISBN 10: 1493928635
ISBN 13: 9781493928637
Binding: Hardcover
Edition: 2nd Edition
Condition: new

About this title

Synopsis

This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics.

This second edition is broadly expanded, building upon the success of its former edition with more than 450 new and updated entries. These entries are designed to ensure algorithms are presented from growing areas of research such as bioinformatics, combinatorial group testing, differential privacy, enumeration algorithms, game theory, massive data algorithms, modern learning theory, social networks, and VLSI CAD algorithms.

Over 630 entries are organized alphabetically by problem, with subentries allowing for distinct solutions. Each entry includes a description of the basic algorithmic problem; the input and output specifications; key results; examples of applications; citations to key literature, open problems, experimental results, links to data sets and downloadable code.

All entries are peer-reviewed, written by leading experts in the field―and each entry contains links to a summary of the author’s research work.

This defining reference is available in both print and online―a dynamic living work with hyperlinks to related entries, cross references citations, and a myriad other valuable URLs.

New and Updated entries include:

Algorithmic Aspects of Distributed Sensor Networks,

Algorithms for Modern Computers

Bioinformatics

Certified Reconstruction and Mesh Generation

Combinatorial Group Testing

Compression of Text and Data Structures

Computational Counting

Computational Economics

Computational Geometry

Differential Privacy

Enumeration Algorithms

Exact Exponential Algorithms

Game Theory

Graph Drawing

Group Testing

Internet Algorithms

Kernels and Compressions

Massive Data Algorithms

Mathematical Optimization

Modern Learning Theory

Social Networks

Stable Marriage Problems, k-SAT Algorithms

Sublinear Algorithms

Tile Self-Assembly

VLSI CAD Algorithms

About the Author

Ming-Yang Kao is Professor of Computer Science at the Northwestern University, Evanston. He got a B.S. in Mathematics, 1978 at the National Taiwan University, Republic of China (Taiwan) and his Ph.D. in Computer Science, 1986, at Yale University, USA.
Prof. Kao studies the design, analysis and implementation of algorithms. His work spans a broad range of applications including bioinformatics, computational finance, electronic commerce, and nanotechnology. Kao's most recent research includes work on DNA self-assembly, variants of the traveling salesman problem, and graph labeling problems.

Kao heads the EECS Computing, Algorithms & Applications Division and is the editor-in-chief of Algorithmica.

"About this title" may belong to another edition of this title.

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